List of Computer Science courses with video lectures.
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Summer 2027 software engineering, data science, AI, quant, product management, and hardware internship postings. Updated daily by Simplify and Pitt CSC.
- interview-preparation
- internships
- jobs
- university
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
- machine-learning
- trading
- investment
- finance
A collection of full time roles in SWE, Quant, and PM for new grads.
- jobs
- newgrad
- coderquad
- applications
A curated list of practical financial machine learning tools and applications.
Quant/Algorithm trading resources with an emphasis on Machine Learning
A curated list of awesome quantum computing learning and developing resources.
Quantitative analysis, strategies and backtests
- quantitative-finance
- quantitative-trading
- portfolio-management
- risk-management
Curated list of open-source quantum software projects.
- quantum-computing
- quantum-algorithms
- quantum-chemistry
- quantum-computer-simulator
A curated list of Python packages related to chemistry
- chemistry
- quantum-chemistry
- python-chemistry
- molecular-dynamics
A High-Level Abstraction Framework for Quantum Algorithms
Parsers and algorithms for computational chemistry logfiles
- python
- computational-chemistry
- quantum-chemistry
Software for humanities scholars using quantitative or computational methods.
- awesome-list
- awesome
- digital-humanities
- dh-tools
Quantitative Research Handbook
Translated🐋 Complete guide in Russian: how to install and run DeepSeek locally (V4, R1) on PC, Mac and server — Ollama, llama.cpp, LM Studio, vLLM, Open WebUI, API, RAG, agents, fine-tuning, best tips and tricks
- ai-agents
- deepseek
- deepseek-r1
- deepseek-v4
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.
- svm
- regression
- classification
- machine-learning
:chart_with_upwards_trend: A live cryptocurrency historical trade data blotter. Download live historical trade data from any cryptoexchange, be it for machine learning, backtesting/visualizing trading strategies or for Quantopian/Zipline.
- cryptocurrency
- exchange
- trade
- data
AI-Powered Quantitative Trading Engine — Evolve strategies with genetic algorithms
Stock price prediction using a deterministic algorithm inspired by LSTM, focusing on pattern recognition in historical data.
Compiler & Runtime for 'Almost Binary'. Code in platform-independent binary and utilize high-level data structures and state-of-the-art libraries (e.g. quantum computing, blockchain, ..)
- binary
- compiler
- runtime
- csharp
A demonstration tutorial of using aiida-quantumespresso