Using GPT to parse PDF

GPT-powered solution for extracting and modifying data in tables using natural language commands.

本人的科研经验

Portfolio Allocation through Hierarchical Clustering-Based Strategies

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

800,000 step-level correctness labels on LLM solutions to MATH problems

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Source code for the X Recommendation Algorithm

The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

List of Computer Science courses with video lectures.

Faster graph embeddings via coarsening (ICML 2020)

A fast and differentiable QP solver for PyTorch.

This repository implements variational graph auto encoder by Thomas Kipf.

Graph Auto-Encoder in PyTorch

Graph Auto-Encoder in PyTorch

Implementation "Adapting Auxiliary Losses Using Gradient Similarity" article

Classification with PyTorch.

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas lik…

code for pLSA and LDA in the paper "Stochastic Expectation Maximization with Variance Reduction"

Source code for "Beating Stochastic and Adversarial Semi-bandits Optimally and Simultaneously"

Code for ICML2019 Paper "On the Convergence and Robustness of Adversarial Training"

Plot Tensorflow Summary Event in a Beautiful Way 🌈

This repository is to prepare for Machine Learning interviews.

Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/

Code for visualizing the loss landscape of neural nets

A natural language modeling framework based on PyTorch