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RLAnything & DemyAgent: General and scalable agentic RL algorithms across terminal, GUI, SWE, and tool-call settings

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

A brief and partial summary of RLHF algorithms.

AlphaFold 3 inference pipeline.

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

speculative decoding, faster inference

This repository contains the main code used in the paper "Deep Reinforcement Learning for Market Making Under a Hawkes Process-Based Limit Order Book Model"

One of the 'BEST' markdown preview extensions for Atom editor!

自然语言处理 中文分词 词性标注 命名实体识别 依存句法分析 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁

Custom Chinese input method with fcitx on Linux

Multithreaded Asynchronous FTRL Proximal Implementation

Torch implementation of neural style algorithm

📖 🔨 DLBook Builder

Introduction to Statistics using Python

Slides and exercises for the Deep Learning Summer School 2015 programming tutorials

Talk for SciPy2015 "Deep Learning: Tips From The Road"

Portable, Scalable and Reliable Distributed Machine Learning, support various platforms including Hadoop YARN, MPI, etc.

Minerva: a fast and flexible tool for deep learning. It provides ndarray programming interface, just like Numpy. Python bindings and C++ bindings are both available. The resulting code can be run o…

Convolutional and fully-connected neural networks C++ library. It features CPU and GPU (CUDA) backends

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

An implementation of the multi-class/multi-label classifier, of which the training is carried out using AdaBoost.MH on Apache Spark.

libLBFGS: a library of Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS)

eXtreme Gradient Boosting (Tree) Library

SSDB - A fast NoSQL database, an alternative to Redis

Stanford Unsupervised Feature Learning and Deep Learning Tutorial