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slime is an LLM post-training framework for RL Scaling.
AI handles execution, humans own the direction, and every run becomes an inspectable research artifact on disk.
Single File, Single GPU, From Scratch, Efficient, Full Parameter Tuning library for "RL for LLMs"
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
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Student version of Assignment 1 for Stanford CS336 - Language Modeling From Scratch
Awesome Reasoning LLM Tutorial/Survey/Guide
Free, open source crypto trading bot
We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiastsโฆ
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, iโฆ
๐ค ๐๐ฒ๐ฎ๐ฟ๐ป for ๐ณ๐ฟ๐ฒ๐ฒ how to ๐ฏ๐๐ถ๐น๐ฑ an end-to-end ๐ฝ๐ฟ๐ผ๐ฑ๐๐ฐ๐๐ถ๐ผ๐ป-๐ฟ๐ฒ๐ฎ๐ฑ๐ ๐๐๐ & ๐ฅ๐๐ ๐๐๐๐๐ฒ๐บ using ๐๐๐ ๐ข๐ฝ๐ best practices: ~ ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ ๐ค๐ฐ๐ฅ๐ฆ + 12 ๐ฉ๐ข๐ฏ๐ฅ๐ด-๐ฐ๐ฏ ๐ญ๐ฆ๐ด๐ด๐ฐ๐ฏ๐ด
Code Repository for Machine Learning with PyTorch and Scikit-Learn
API spec validator and OpenAPI document generator for Python web frameworks.
A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine
ใDesigning Data-Intensive ApplicationใDDIA ็ฌฌไธ็ / ็ฌฌไบ็ ไธญๆ็ฟป่ฏ
Machine learning resources๏ผincluding algorithm, paper, dataset, example and so on.
https://huyenchip.com/ml-interviews-book/
Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.
planning and decision making in robotics