The Evolution of the Machine Learning Industry
Vendor Appendix by Component
Artificial Neural Networks
Google (TensorFlow)
Microsoft (CNTK)
IBM (Watson)
Amazon (AWS)
Optimization Techniques
Google (OptPack)
Microsoft (Microsoft Optimization)
IBM (CPLEX Optimizer)
Gurobi Optimization
Reinforcement Learning
Google (TensorFlow)
Microsoft (Project Bonsai)
Amazon (AWS)
OpenAI (Gym)
Convolutional Neural Networks (CNNs)
Google (TensorFlow)
Microsoft (CNTK)
NVIDIA (cuDNN)
Intel (Intel MKL-DNN)
Recurrent Neural Networks (RNNs)
Google (TensorFlow)
Microsoft (CNTK)
IBM (Watson)
Baidu (PaddlePaddle)
Ensemble Methods
H2O.ai (H2O)
Microsoft (Azure Machine Learning)
RapidMiner (RapidMiner Studio)
SAS (SAS Enterprise Miner)
Transfer Learning
Google (TensorFlow)
Microsoft (CNTK)
Amazon (AWS)
OpenAI (GPT-3)
Graph Neural Networks
Google (TensorFlow)
AWS (Amazon Neptune)
Neo4j (Graph Data Science Library)
Databricks (GraphFrames)
Autoencoders
Google (TensorFlow)
Microsoft (CNTK)
IBM (Watson)
Skymind (DL4J)
Word Embeddings
Google (Word2Vec)
Facebook (fastText)
SpaCy (SpaCy)
Gensim (Gensim)
Generative Adversarial Networks (GANs)
NVIDIA (NVIDIA GAN)
Google (TensorFlow)
Facebook (PyTorch)
OpenAI (GPT)
Attention Mechanisms and Transformer Models
Google (BERT)
Facebook (RoBERTa)
OpenAI (GPT)
HuggingFace (Transformers)
Automated Machine Learning (AutoML)
Google (Cloud AutoML)
Microsoft (Azure AutoML)
H2O.ai (H2O AutoML)
DataRobot (DataRobot AutoML)
Federated Learning
Google (TensorFlow Federated)
NVIDIA (NVIDIA Clara)
IBM (IBM Federated Learning)
OpenMined (PySyft)
Self-Supervised Learning
Facebook (SEER)
OpenAI (CLIP)
Google (SimCLR)
HuggingFace (Transformers)
Neuro-Symbolic AI
IBM (IBM Neuro-Symbolic AI)
MIT (Probabilistic Computing Project)
Google (Google Neuro-Symbolic AI)
DeepMind (DeepMind Neuro-Symbolic AI)
Quantum Machine Learning
Google (TensorFlow Quantum)
IBM (Qiskit)
Microsoft (Microsoft Quantum)
D-Wave Systems (D-Wave Quantum Machine Learning)