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ML-QUANT FINANCE

Machine Learning & Quantitative Finance

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ArXiv Papers

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Piercing the Veil of TVL: DeFi Reappraised
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2024/04/19
Piercing the Veil of TVL: DeFi Reappraised
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SSRN Papers

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GitHub Code

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meta-llama/llama3
2024/04/19 17:01
4749
The official Meta Llama 3 GitHub site
meta-llama/llama3
2024/04/19 17:01
4749
The official Meta Llama 3 GitHub site
jwasham/coding-interview-university
2024/04/19 16:59
288372
A complete computer science study plan to become a software engineer.
jwasham/coding-interview-university
2024/04/19 16:59
288372
A complete computer science study plan to become a software engineer.
louislam/uptime-kuma
2024/04/19 16:59
49121
A fancy self-hosted monitoring tool
louislam/uptime-kuma
2024/04/19 16:59
49121
A fancy self-hosted monitoring tool
cleanlab/cleanlab
2024/04/19 16:57
8605
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
cleanlab/cleanlab
2024/04/19 16:57
8605
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
ggerganov/whisper.cpp
2024/04/19 16:57
30926
Port of OpenAI's Whisper model in C/C++
ggerganov/whisper.cpp
2024/04/19 16:57
30926
Port of OpenAI's Whisper model in C/C++
pydata/pandas-datareader
2024/04/19 16:55
2819
Extract data from a wide range of Internet sources into a pandas DataFrame.
pydata/pandas-datareader
2024/04/19 16:55
2819
Extract data from a wide range of Internet sources into a pandas DataFrame.
sammchardy/python-binance
2024/04/19 16:55
5782
Binance Exchange API python implementation for automated trading
sammchardy/python-binance
2024/04/19 16:55
5782
Binance Exchange API python implementation for automated trading
meta-llama/codellama
2024/04/19 16:48
14376
Inference code for CodeLlama models
meta-llama/codellama
2024/04/19 16:48
14376
Inference code for CodeLlama models
heyform/heyform
2024/04/19 16:48
5461
HeyForm is an open-source form builder that allows anyone to create engaging conversational forms for surveys, questionnaires, quizzes, and polls. No coding skills required.
heyform/heyform
2024/04/19 16:48
5461
HeyForm is an open-source form builder that allows anyone to create engaging conversational forms for surveys, questionnaires, quizzes, and polls. No coding skills required.
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LinkedIn Trending

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Name
Date
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ML Score
Likes
2024/04/19
https://www.linkedin.com/feed/update/urn:li:activity:7187059316170838016
It took some processing at the friendly US embassy in London, but I am finally authorised to work in the US and thrilled to lead HRT’s macro analytics effort from our stunning headquarters in NYC, starting in May.(reposting as several connections advised against posting personal information, apologies if your comments were lost)
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33
2024/04/19
https://www.linkedin.com/feed/update/urn:li:activity:7187039445567606785
Your Weekend ReadAt Man Group, we're all big readers. I thought every Friday I'd start posting books, articles and papers that have been doing the rounds on the trading floor - something to sink your teeth into over the weekend...One of the things I've been focused on recently is the gap between theoretical and applied finance, the sometimes vast distance from the university to the trading floor.This paper - with a brilliant title - in the Journal of the American Mathematical Society, looks at the data mining and overfitting that hampers so many academic papers on investment theory. It's written by some of the greatest luminaries of mathematical science and investment theory (David H Bailey, the late, great, Jonathan M Borwein, Marcos Lopez de Prado and Qiji Zhu). The authors quote my friend Campbell Harvey, who says that in financial academia “most claimed research findings are likely false.” At Man, and particularly through our partnership with Oxford at the Oxford-Man Institute of Quantitative Finance, University of Oxford, we're trying to narrow the space between theory and practice.
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63
2024/04/19
https://www.linkedin.com/feed/update/urn:li:activity:7187016721772224512
Calling all future mathematicians to join a dynamic PhD programme for cutting-edge research and hands-on experience with leading experts to shape our planet's future.Application open for a fully funded PhD studentships for September 2024-https://lnkd.in/eW3W-c7Bhashtag#mathsphdhttps://lnkd.in/eW3W-c7B
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2024/04/19
https://www.linkedin.com/feed/update/urn:li:activity:7187060203194896386
DOCTR-L, or how I learned to stop worrying and love offline RL.DOCTR-L stands for Distributional Offline Continuous-Time Reinforcement Learning. Offline Reinforcement Learning is arguably the most common use case for reinforcement learning in practical applications. While offline RL is more widely encountered than online RL, it is also more difficult than the latter. This is because in offline RL, a learning agent can't explore its environment to optimize its policies, and has to rely exclusively on a fixed dataset collected from action of some other agent (or agents) who could pursue altogether different goals. In a recent paper published in Neural Computing and Applications, I showed that with a continuous-time formulation, risk-sensitive or distributional RL with stochastic policies can be cast into a 'soft HJB equation' - a soft relaxation of the classical Hamilton-Jacobi-Bellman equation. The 'Deep DOCTR-L' algorithm proposed in this paper uses a deep neural network to approximate the optimal solution of the soft HJB equation and learn it from offline data. Instead of relying on value iteration or policy iteration methods, Deep DOCTR-L converts offline high-dimensional data into an optimal policy in one step by reducing it to supervised learning. Furthermore, the distributional RL formulation enables a computable approach to the quality control of obtained policies in terms of both expected returns and uncertainties about their values.The journal version: https://lnkd.in/eYxQMQNDArXiv version: https://lnkd.in/gNxhUQdhashtag#distributional hashtag#offline hashtag#continuous hashtag#time hashtag#reinforcementlearning
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2024/04/19
https://www.linkedin.com/feed/update/urn:li:activity:7186991155790643200
Meta Llama 3, the latest open hashtag#LLM from Meta — built with NVIDIA technology — is optimized to run on our GPUs from the cloud and data center to the edge and the desktop.
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1145
2024/04/19
https://www.linkedin.com/feed/update/urn:li:activity:7186828320410386433
Delighted to finally introduce Llama 3: The most capable openly available LLM to date. Long jouney since Llama-2, a big shoutout to the incredible team effort that made this possible, and stay tuned, we will keep buildinghttps://lnkd.in/ePNBjEuX
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239
2024/04/19
https://www.linkedin.com/feed/update/urn:li:activity:7186878932539867136
Here are 26 landing pages from the top 1% of growing brands in the US and UK ️I found 107 hidden genius strategies that you can steal from them to become more profitable & grow even faster...The marketing industry is moving super fast, and you always need to keep an eye on what the pioneers are doing.There is no shame in stealing, as Steve Jobs once quoted Picasso, "Good artists copy; great artists steal."Over the past 4 years, we have done CRO for Germany's top 1% D2C brands, including HelloFresh, SNOCKS, Giesswein, Purelei, and 97+ more, and generated more than 150 million in revenues.One thing that always helped me to come up with winning ideas is to keep an eye on what market leaders are doing.I just put all of these landing pages into a Figma file to share with my team. If you also want to have access to the full resolution:Like this postComment "Landing Pages Please" or "Sharing is Caring"And I'll send them to you hashtag#ecommerce hashtag#shopify hashtag#conversionsP.S. Thanks for all the support on my last whitepapers. They have been downloaded more than 7,100 times, and I received more than 950 messages with amazing feedback. My goal this year is to create one free & helpful CRO resource every week. The more feedback I get, the better they will become.
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226
2024/04/19
https://www.linkedin.com/feed/update/urn:li:activity:7186651316541145088
Call for Research Proposals: Special Issue on Biodiversity and Natural Resource FinanceWe invite submissions for a Special Issue to promote research on issues that bear on the financial economics of biodiversity change. The Call is issued by the RF with the support of the Cambridge Centre for Endowment Asset Management (CEAM) and the Global Sustainability Leadership Institute of the University of Texas at Austin It is led by Programme Chairs Elroy Dimson of Cambridge University, Marcin Kacperczyk of Imperial College London and Managing Editor of the Review of Finance, and Laura Starks of the University of Texas at Austin. Recognising the emergent nature of this field of research, our format will follow a two-stage process:Stage One: A call for proposals, followed by a workshop in Cambridge, U.K., on October 9, 2024, for 8-10 selected proposals. Here, authors will present their proposals to peer authors as well as other invited experts for feedback.Stage Two: A second conference in spring 2025 for completed papers. Papers that make it through this round will be published in the Review of Finance.Proposal Submission Period: May 1 to August 15, 2024.We welcome both empirical and theoretical research, and encourage proposals by scholars from across disciplines outside of financial economics, as well as interdisciplinary submissions. For submission guidelines and additional information, please visit: https://lnkd.in/denQUQX9
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96
2024/04/19
https://www.linkedin.com/feed/update/urn:li:activity:7187014559830863873
How do you build a great Quant team? Have the best recruiting partners with you. As I’m retiring, many of you who are looking to join Wells Fargo Quant team, reach out to Namrata Pradhan, PHR and Divya Amrith.
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57
2024/04/19
https://www.linkedin.com/feed/update/urn:li:activity:7187017440348774400
At COP26 held in Nov 2021, India made a commitment to reach NetZero by 2070 through a five-point program which includes 500GW Non-fossil energy capacity by 2030 and 50% of energy requirements from renewable energy by 2030. Against this background, Scetti (State Clean Electricity Transition Tracker India) launched its energy dashboard in March 2023 to help policymakers and researchers identify policy opportunities for Indian states' transition to clean electricity.We now offer a tool for analyzing subnational policies at scale. The Scetti NetZero-Reduction Detector app deploys AI-based NLP (natural language processing) to detect occurences of Netzero, Reduction, and Other targets in your climate policy document. The underlying LLM is developed by hashtag#ClimatePolicyRadar.The app is available here: https://lnkd.in/dPdP29Q8We invite you to try out the tool by uploading your own climate policy document and let us know if you found it useful (or not)! You can analyze climate policies of any country/region, not just India. You can even analyze corporate sustainability reports and other company disclosures to see if they contain measurable and verifiable GHG reduction targets.A special note of appreciation is due to Kalyan Dutia and Tobias Schimanski for freely sharing their knowledge and code in the true spirit of hashtag#opensource and hashtag#openscience. More acknowledgements appear in the About section of the app.The Scetti team and collaborators: Karthik Balakrishnan of Codestellar Technologies, Abhayraj Naik Ashwin Murthy Aiswarya Murali Simran Sharma Srinivasa Rao Poladi Rupam MazumdarOur key supporter: Subak Australia, Subak (Scetti is proud to be a member of the 2023 Subak Australia Accelerator cohort!)
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