DarrenZhang01

C-practice

Software Tools and Systems Programming Personal Practice

ExCon

ExCon: Explanation-driven Supervised Contrastive Learning

generalized_advantage_estimation

Course Presentation for STA4273 2021 Winter, University of Toronto

Machine-Learning

This repo contains some Machine Learning programs.

Presentation-for-ML-Individual-Fairness

My presentation for the graduate machine learning course CSC2541 at the University of Toronto

ReadSharing

ReadSharing System - An application that gives you a platform to share what you read and what you think

robust_classification

When Machine Learning Meets Robust Optimization - Course Project for MIE1612 (Stochastic Programming and Robust Optimization)

TensorFlow_GSoC

Neural Tangents for TensorFlow 2.x.

trax

Trax — Deep Learning with Clear Code and Speed

tafs

TA Feedback System

DarrenZhang01/ExCon

ExCon: Explanation-driven Supervised Contrastive Learning

DarrenZhang01/C-practice

Software Tools and Systems Programming Personal Practice

DarrenZhang01/generalized_advantage_estimation

Course Presentation for STA4273 2021 Winter, University of Toronto

DarrenZhang01/robust_classification

When Machine Learning Meets Robust Optimization - Course Project for MIE1612 (Stochastic Programming and Robust Optimization)

DarrenZhang01/bayesian-coresets

Automated Scalable Bayesian Inference

DarrenZhang01/blog

Public repo for HF blog posts

DarrenZhang01/captum

Model interpretability and understanding for PyTorch

DarrenZhang01/CLIP

Contrastive Language-Image Pretraining

DarrenZhang01/Deep-Reinforcement-Learning-Algorithms

31 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

DarrenZhang01/DeepLearningZeroToAll

TensorFlow Basic Tutorial Labs

DarrenZhang01/flax

Flax is a neural network ecosystem for JAX that is designed for flexibility.

DarrenZhang01/incontext-learning

Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implicit Bayesian Inference"

DarrenZhang01/lossyless

Generic image compressor for machine learning. Pytorch code for our paper "Lossy compression for lossless prediction".

DarrenZhang01/LSTM-GRU-from-scratch

LSTM, GRU cell implementation from scratch in tensorflow

DarrenZhang01/modAL

A modular active learning framework for Python

DarrenZhang01/pytorch_influence_functions

This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence Functions by Pang Wei Koh and Percy Liang.

DarrenZhang01/recovery_likelihood

DarrenZhang01/removal-explanations

A lightweight implementation of removal-based explanations for ML models.

DarrenZhang01/Score-CAM

[CVPRW 2020] Official implementation of Score-CAM in Pytorch

DarrenZhang01/seaql.github.io

📙 The official website of SeaQL

DarrenZhang01/server

MariaDB server is a community developed fork of MySQL server. Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry.

DarrenZhang01/smile

Statistical Machine Intelligence & Learning Engine

DarrenZhang01/softlearning

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

DarrenZhang01/SupContrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

DarrenZhang01/TimeSynth

A Multipurpose Library for Synthetic Time Series Generation in Python

DarrenZhang01/torchgeo

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

DarrenZhang01/TracIn

Implementation of Estimating Training Data Influence by Tracing Gradient Descent (NeurIPS 2020)

DarrenZhang01/Transformer-Explainability

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

DarrenZhang01/transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

DarrenZhang01/transformers-interpret

Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.