Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.
PRML algorithms implemented in Python
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.
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
- pytorch
- speech-processing
- speaker-diarization
- speech-activity-detection
TranslatedBook_4_"The Power of Matrices" | Iris Book: From Addition, Subtraction, Multiplication and Division to Machine Learning; now on sale!
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
A Comprehensive Guide for Generative AI, Agentic AI, Multimodal AI, Physical AI Interviews. Proven Formula for multiple FAANG offers and more
A collection of pre-trained, state-of-the-art models in the ONNX format
- onnx
- models
- download
- pretrained
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
Automatic extraction of relevant features from time series:
Lab Materials for MIT 6.S191: Introduction to Deep Learning
[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!
Notebooks and code for the book "Introduction to Machine Learning with Python"
TranslatedLarge language model knowledge sharing that everyone can understand, a must-read before LLM spring/autumn recruitment interviews, so you can talk confidently with interviewers
Collection of notebooks about quantitative finance, with interactive python code.
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
Toturials coming with the "data science roadmap" picture.
Optimize prompts, code, and more with AI-powered Reflective Optimization
A unified framework for 3D content generation.
Material for gpu-mode lectures
TranslatedAI in Practice - practicalAI, Chinese version
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
A course in reinforcement learning in the wild