Popular GitHub Repositories for Half Cheetah

speech to text benchmark framework

BEVFormer inference on TensorRT, including INT8 Quantization and Custom TensorRT Plugins (float/half/half2/int8).

Large collection of number systems providing custom arithmetic for mixed-precision algorithm development and optimization for AI, Machine Learning, Computer Vision, Signal Processing, CAE, EDA, control, optimization, estimation, and approximation.

Flux diffusion model implementation using quantized fp8 matmul & remaining layers use faster half precision accumulate, which is ~2x faster on consumer devices.

Utilizing GPT to assist interviewees, help answer questions and write code

Half Wavelet Attention on M-Net+ for Low-light Image Enhancement

Korean TTS using coqui TTS (glowtts and multiband melgan) - ??? TTS

This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.

Half Field Offense in Robocup 2D Soccer with reinforcement learning

Efficiently manage Claude AI projects--save half off your API bill with this one weird trick

Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradients. To achieve robustness to users dropping out, existing practical privacy-preserving federated learning schemes are based on (t, N)-threshold secret sharing. Such schemes rely on a strong assumption to guarantee security: the threshold t must be greater than half of the number of users. The assumption is so rigorous that in some scenarios the schemes may not be appropriate. Motivated by the issue, we first introduce membership proof for federated learning, which leverages cryptographic accumulators to generate membership proofs by accumulating users IDs. The proofs are issued in a public blockchain for users to verify. With membership proof, we propose a privacy-preserving federated learning

Using deep reinforcement learning to play Snake game. The used algorithm is PPO for discrete! It has the brilliant performance in the field of discrete action space just like in continuous action space. You just need half an hour to train the snake and then it can be as smart as you.|使用深度强化学习玩蛇游戏。 使用的算法是离散的 PPO！ 它在离散动作空间领域有着与连续动作空间一样的出色表现。

SAC, PPO, A2C implementation on Mujoco environments : Humanoid-v4, Ant-v4, Cheetah-v4 . Includes reward manipulation.

RL training for quadruped robot(mit minicheetah) various gaits in different velocity based on MPC controller.

An open source robot reinforcement learing plantform using stable-baselines and OpenAI Gym

Sample Steam descriptions with the GPT-2 language model.

Implementation of T-REX and D-REX Inverse Reinforcement Learning (IRL) algorithm for learning form suboptimal demonstrations

RL algorithms: ppo, ddpg