lidongrong's repositories
algotrading
Algorithmic trading framework for cryptocurrencies.
audiocraft
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.
awesome-statml
This repository contains a list of awesome literature in statistics and machine learning.
ChatGLM-6B
ChatGLM-6B:开源双语对话语言模型 | An Open Bilingual Dialogue Language Model
DeepSeek-V2
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
deribit_websocket_v2
This is a python wrapper written to make it simple to connect to Deribit's JSON-RPC api v2 using websockets.
Hands-On-Machine-Learning-for-Algorithmic-Trading
Hands-On Machine Learning for Algorithmic Trading, published by Packt
huatai-finengi-report
:books: 华泰金工研究报告
Interesting-Stat-CS-Papers
Interesting papers in Stat/CS I have read.
leetcode-company-wise-problems-2022
Lists of company wise questions available on leetcode premium. Every csv file in the companies directory corresponds to a list of questions on leetcode for a specific company based on the leetcode company tags. Updated as of May, 2022.
Optiver-Ready-Trader-Go
Implemented the Avellaneda-Stoikov market-making strategy in an automated trading algorithm. Completed as part of the Optiver Ready Trader Go competition.
OptML_course
EPFL Course - Optimization for Machine Learning - CS-439
pytorch-cifar
95.47% on CIFAR10 with PyTorch
qtalib
Technical Indicators written in Cython/C
qtrader
A Light Event-Driven Algorithmic Trading Engine
RWKV-LM
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
sample-market-maker
Sample BitMEX Market Making Bot
skyagi
SkyAGI: Emerging human-behavior simulation capability in LLM
systematic_trading
Demonstrative examples for developing quantitative and systematic strategies