List of Major Conferences
Natural Language Processing (NLP)
Computer Vision
ML/DL
List of Major Journals
Natural Language Processing (NLP)
Computer Vision
ML/DL
Recent Research Advancements
Natural Language Processing (NLP)
Computer Vision
ML/DL
Courses/Resources
Courses
- Machine Learning Specialization
A foundational online program created in collaboration between DeepLearning.AI and Stanford Online, covering supervised learning, unsupervised learning, neural networks, and practical machine learning applications.
- Deep Learning Specialization
A comprehensive specialization covering neural networks, CNNs, RNNs, sequence models, optimization techniques, and practical deep learning implementation using Python.
- Natural Language Processing Specialization
A course series covering modern NLP concepts including text classification, sentiment analysis, sequence models, attention mechanisms, and transformer-based approaches.
- Computer Vision Basics
Introduces fundamental concepts in computer vision, including image processing, feature extraction, image filtering, and practical programming applications.
- Advanced Computer Vision with TensorFlow
Covers advanced computer vision topics using TensorFlow, including object detection, image segmentation, generative adversarial networks (GANs), and model deployment.
Resources
- Papers with Code
A comprehensive platform connecting research papers with open-source implementations, state-of-the-art models, datasets, and performance benchmarks across ML, CV, DL, and NLP.
- Hugging Face
A leading platform for AI research providing pretrained models, datasets, transformer libraries, evaluation tools, and deployment solutions.
- TensorFlow Hub
A repository of pretrained machine learning models for tasks such as image classification, object detection, text embeddings, and transfer learning using TensorFlow.
- PyTorch Hub
A repository of pretrained PyTorch models providing access to research implementations for computer vision, NLP, and deep learning applications.
- Keras Applications
A collection of pretrained deep learning models available in Keras for image classification, feature extraction, and transfer learning.
- OpenAI GPT Models
Provides access to large language models for NLP tasks, including text generation, summarization, reasoning, and AI-powered applications.
- Kaggle Datasets
A large repository of datasets across multiple domains with community notebooks, competitions, and resources for machine learning experimentation.
- Fastai Library
A high-level deep learning library built on PyTorch that simplifies model training and experimentation through practical workflows.
- OpenCV
An open-source computer vision library providing tools for image processing, video analysis, object detection, and visual computing applications.
- Labelbox
A data annotation platform that helps create high-quality labeled datasets for computer vision, NLP, and AI model training.
- SpaCy
A Python NLP library providing efficient pretrained models and pipelines for tokenization, named entity recognition, and text classification.
