itsfingerlickinggood's Stars
MamczurMiroslaw/best_ai_knowledge_repos
The best of the best AI knowledge repositories
microsoft/BitNet
Official inference framework for 1-bit LLMs
jbhuang0604/awesome-computer-vision
A curated list of awesome computer vision resources
microsoft/AI
Microsoft AI
soulmachine/machine-learning-cheat-sheet
Classical equations and diagrams in machine learning
sanjaysheel/Data-Science-Books-1
tensorflow/tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
enilsen16/The-Math-Group
THE MATH GROUP
danielmiessler/SecLists
SecLists is the security tester's companion. It's a collection of multiple types of lists used during security assessments, collected in one place. List types include usernames, passwords, URLs, sensitive data patterns, fuzzing payloads, web shells, and many more.
google-gemini/generative-ai-python
The official Python library for the Google Gemini API
google-gemini/cookbook
Examples and guides for using the Gemini API
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
rust-lang/rust
Empowering everyone to build reliable and efficient software.
dive-into-machine-learning/dive-into-machine-learning
Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)
donnemartin/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
josephmisiti/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
amanchadha/coursera-deep-learning-specialization
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
faridrashidi/kaggle-solutions
🏅 Collection of Kaggle Solutions and Ideas 🏅
DataTalksClub/machine-learning-zoomcamp
Learn ML engineering for free in 4 months!
Stability-AI/generative-models
Generative Models by Stability AI
NielsRogge/Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
farhanashrafdev/90DaysOfCyberSecurity
This repository contains a 90-day cybersecurity study plan, along with resources and materials for learning various cybersecurity concepts and technologies. The plan is organized into daily tasks, covering topics such as Network+, Security+, Linux, Python, Traffic Analysis, Git, ELK, AWS, Azure, and Hacking. The repository also includes a `LEARN.md
mikeroyal/Machine-Learning-Guide
Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.
ItIsMeCall911/Course-Piracy-Index
Course Piracy Index 🏴☠️
cloudcommunity/Free-Certifications
A curated list of free courses & certifications.
dair-ai/ML-Papers-Explained
Explanation to key concepts in ML
robcarver17/pysystemtrade_examples
Examples using pysystemtrade for my blog qoppac.blogspot.com
robcarver17/systematictradingexamples
Examples of code related to book www.systematictrading.org and blog qoppac.blogspot.com
LastAncientOne/Deep_Learning_Machine_Learning_Stock
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.