🧰 Core Tools & Platforms
Tool Purpose
Jupyter Notebook Interactive coding, great for experiments and visualizations
Google Colab Free cloud notebooks with GPU/TPU support
Kaggle Competitions, datasets, and public code notebooks
Anaconda Python distribution with built-in packages and environment management
VS Code / PyCharm Popular IDEs for ML/DL development
🧠 Machine Learning Frameworks
Library Highlights
Scikit-learn Classical ML algorithms (SVMs, regression, clustering, etc.)
XGBoost / LightGBM / CatBoost High-performance gradient boosting libraries
MLflow Experiment tracking and model lifecycle management
DVC (Data Version Control) Versioning for datasets and ML models
🧪 Deep Learning Frameworks
Library Description
TensorFlow Developed by Google, highly scalable for production
Keras High-level API for TensorFlow (easy to use, great for beginners)
PyTorch Popular in academia and research, dynamic computation graph
Fastai Built on PyTorch, simplifies deep learning workflows
JAX High-performance machine learning library by Google for automatic differentiation and optimization
🔤 Natural Language Processing (NLP)
Library Usage
NLTK Classic NLP tasks (tokenization, parsing, tagging)
spaCy Fast and industrial-grade NLP
Transformers (Hugging Face) Pretrained transformer models (BERT, GPT, T5)
Gensim Topic modeling and word embeddings
🖼️ Computer Vision
Library Description
OpenCV Image and video processing
Pillow (PIL) Image manipulation (resize, crop, etc.)
Torchvision Datasets, transforms, and pre-trained models (PyTorch-based)
Detectron2 Facebook’s object detection framework
Albumentations Image augmentation for training robustness
🎵 Audio & Speech Processing
Library Use Case
LibROSA Music and audio analysis
PyDub Simple audio manipulation
Torchaudio Audio preprocessing and datasets for PyTorch
SpeechRecognition Easy-to-use library for speech-to-text tasks
🤖 Reinforcement Learning
Library Purpose
Stable Baselines3 Pre-implemented RL algorithms (PPO, DQN, A2C)
OpenAI Gym Simulated environments for training RL agents
RLlib (Ray) Scalable RL training across CPUs/GPUs
☁️ Model Deployment Tools
Tool Usage
Flask / FastAPI Build and deploy ML APIs
Streamlit / Gradio Quickly create interactive ML web apps
TensorFlow Serving Deploy TensorFlow models in production
ONNX Open format to convert and run models across platforms
Docker Containerize ML applications for deployment
📊 Data Handling & Visualization
Library Description
NumPy Efficient numerical computations
Pandas Data manipulation and analysis
Matplotlib / Seaborn Data visualization
Plotly / Bokeh Interactive visualizations
Polars Fast alternative to pandas for large datasets
🧪 Experiment Tracking & MLOps
Tool Purpose
Weights & Biases (W&B) Experiment tracking, metrics logging, model versioning
Neptune.ai Lightweight experiment tracking
Comet ML Collaborative ML experiment tracking
Kubeflow / MLflow Full MLOps pipeline management
📦 Model Hub / Pre-trained Models
Platform Description
Hugging Face Hub Thousands of ready-to-use transformer models
TensorFlow Hub Pre-trained models for TensorFlow
PyTorch Hub Model zoo for PyTorch models
TF Model Garden TensorFlow models for research and production
Papers with Code SOTA models with benchmark comparisons and code links
📚 Want to Go Further?
Would you like:
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