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Using Code Language Models for Gradual Type Inference

Official implementation for "Multimodal Chain-of-Thought Reasoning in Language Models" (stay tuned and more will be updated)

Making big AI models cheaper, easier, and more scalable

GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)

PyTorch Implementation of OpenAI's Image GPT

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

Official implementation of the TabPFN and the tabpfn package.

Financial Sentiment Analysis with BERT

Code for Machine Learning for Algorithmic Trading, 2nd edition.

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals

Uplift modeling and causal inference with machine learning algorithms

ge zhong xiao shuo

very currency

Yet another remote desktop software

A working demo of RustDesk server implementation

【编程随想】整理的《太子党关系网络》，专门揭露赵国的权贵

RustDesk Server Program

A framework for single/multi-objective optimization with metaheuristics

This repo contains some codes and outputs of my implementation of DeepLOB model.

Noah Research

Code for Solving Black-Box Optimization Challenge via Learning Search Space Partition for Local Bayesian Optimization.

An autoML framework & toolkit for machine learning on graphs.

A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines

pyCausalFS：A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification

SMT Solver Testing Framework

AutoML tools chain