chenggong-zhang

180DA-WarmUp

ai-deadlines

:alarm_clock: AI conference deadline countdowns

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

big-ann-benchmarks

Framework for evaluating ANNS algorithms on billion scale datasets.

C247_Project

CEP-energy-guided-diffusion

Official codebase for Exact Energy-Guided Diffusion Sampling via Contrastive Energy Prediction （ICML 2023）

chenggong-zhang.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

direct-preference-optimization

Reference implementation for DPO (Direct Preference Optimization)

Team-7

chenggong-zhang/180DA-WarmUp

chenggong-zhang/ai-deadlines

:alarm_clock: AI conference deadline countdowns

chenggong-zhang/baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

chenggong-zhang/big-ann-benchmarks

Framework for evaluating ANNS algorithms on billion scale datasets.

chenggong-zhang/C247_Project

chenggong-zhang/CEP-energy-guided-diffusion

Official codebase for Exact Energy-Guided Diffusion Sampling via Contrastive Energy Prediction （ICML 2023）

chenggong-zhang/chenggong-zhang.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

chenggong-zhang/Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

chenggong-zhang/direct-preference-optimization

Reference implementation for DPO (Direct Preference Optimization)

chenggong-zhang/ECE-247

chenggong-zhang/force

A library for reinforcement learning research

chenggong-zhang/ghidra

Ghidra is a software reverse engineering (SRE) framework

chenggong-zhang/latex-paper-format-neurips2019

This is an example of a paper in LaTeX for the conference NeurIPS 2019.

chenggong-zhang/ml-agents

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

chenggong-zhang/OptML_course

EPFL Course - Optimization for Machine Learning - CS-439

chenggong-zhang/Python-for-Signal-Processing

Notebooks for "Python for Signal Processing" book

chenggong-zhang/Team-7

chenggong-zhang/uclabeamer

Template for UCLA affiliates to produce Beamer documents from Rmarkdown