DUCKQUANT / THE QUANT & AI DIRECTORY
14,444 resources, ranked by in-directory PageRank
Showing 1,045–1,080 of 14,444 resources
This is a fully functioning Binance trading bot that measures the volatility of every coin on Binance and places trades with the highest gaining…
Open educational playground for BTC hedging strategies — delta hedging, basis trades, funding capture, protective collars.
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You want a life where no one will have the right to tell you what to do, how to do it, and when to…
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Explore this resource at its source website for documentation and current information.
Explore this resource at its source website for documentation and current information.
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
Explore Wiley's trusted research, AI guidance, and expert insights to accelerate discoveries, empower R&D, and advance knowledge worldwide.
Aggregator that pulls headlines and articles from dozens of news outlets worldwide in near real time via API. It offers a free tier (with…
A python library for accessing world bank data
Explore this resource at its source website for documentation and current information.
Explore this resource at its source website for documentation and current information.
Crypto news and research outlet publishing market data dashboards and institutional research reports.
Publication: ActQuant: Sub-4-bit Action-Guided Quantization for Vision-Language-Action Models. Published May 19, 2026.
Publication: HBVLA: Pushing 1-Bit Post-Training Quantization for Vision-Language-Action Models. Published Feb 14, 2026.
Publication: QuantWAMs: Calibrating at the Right Granularity for World Action Models. Published Jul 30, 2026.
Publication: FAST: Efficient Action Tokenization for Vision-Language-Action Models. Published Jan 16, 2025.
Publication: Quantization-Aware Imitation-Learning for Resource-Efficient Robotic Control. Published Dec 2, 2024.
Publication: QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models. Published Feb 23, 2026.
This is an institution oriented commercial Python financial data Toolkit from
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Publication: BitRL: Reinforcement Learning with 1-bit Quantized Language Models for Resource-Constrained Edge Deployment. Published Apr 27, 2026.
Publication: VLA-Forget: Vision-Language-Action Unlearning for Embodied Foundation Models. Published Apr 5, 2026.
Publication: Mechanistically Interpreting Compression in Vision-Language Models. Published Mar 26, 2026.
Publication: Less Precise Can Be More Reliable: A Systematic Evaluation of Quantization's Impact on VLMs Beyond Accuracy. Published Sep 25, 2025.
Public repository by mrdavey. Primary language: JavaScript.
An example of using the Aave Flash Loan Truffle Box
Awesome Multimodal Modeling [Covers MLLM, UMM, and NMM]
Publication: FP8-RL: A Practical and Stable Low-Precision Stack for LLM Reinforcement Learning. Published Jan 26, 2026.
Publication: Jet-RL: Enabling On-Policy FP8 Reinforcement Learning with Unified Training and Rollout Precision Flow. Published Jan 20, 2026.
Aave flashloan for Compound Liquidation call
Aavegotchi diamond and its facets, deployment and upgrades. See the docs: https://docs.aavegotchi.com/
Smart Contracts for Using Aave FlashLoans to Liquidate BZX Positions
