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🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
Markov Decision Processes, Dynamic Programming and Reinforcement Learning
FinRL: Financial Reinforcement Learning. 🔥
finLLM using llama-2-7b-chat-ggml, langchain, chainlit, and faiss vector db on encyclopedia of finance, sfsu
This repository contains related work, benchmarks and datasets for the paper "Large Language Models in Finance (FinLLMs)", currently under review.
List of cities in Iran - فهرست شهرهای ایران. اگر این مخزن را مفید می دانید، لطفاً آن را ستاره دار کنید.
Templates, algorithms and data structures implemented and collected for programming contests.
a VHDL code for a traffic light controller on FPGA is presented.
This repository implements a movie recommendation system using Singular Value Decomposition (SVD)
A curated list of awesome Deep Reinforcement Learning resources.
Repo for the Deep Reinforcement Learning Nanodegree program
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
32 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.
PyTorch implementations of deep reinforcement learning algorithms and environments
MLOps-Roadmap-2023 is a repository that provides a comprehensive and up-to-date guide for anyone who wants to learn and master machine learning operations (MLOps).
Code from the Deep Reinforcement Learning in Action book from Manning, Inc
Machine Learning Resources, Practice and Research
Implementation of All ▲lgorithms in C Programming Language
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
Several algorithms and data structures implemented in C by me (credited to others where necessary).
📚 List of awesome university courses for learning Computer Science!
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
leetcode problems I solved to prepare for my Google interview.
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Centrality Project for UWA CITS2200 Semester 1 2018.