Collection of ML models and benchmarking tools

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  • Requires: Python >=3.8
  • Provides-Extra: cuda
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  • Requires: Python >=3.8
  • Provides-Extra: cuda

Release history Release notifications | RSS feed

1.5.36

1.5.35

1.5.34

1.5.33

1.5.32

1.5.31

1.5.30

1.5.29

1.5.28

1.5.27

1.5.26

1.5.25

1.5.24

1.5.23

1.5.22

1.5.21

1.5.20

1.5.19

1.5.18

1.5.16

1.5.15

1.5.14

1.5.13

1.5.12

1.5.11

1.5.10

1.5.9

This version

1.5.8

1.5.7

1.5.6

1.5.5

1.5.4

1.5.3

1.5.2

1.5.1

1.5.0

1.4.146

1.4.145

1.4.144

1.4.143

1.4.142

1.4.141

1.4.140

1.4.139

1.4.138

1.4.137

1.4.136

1.4.135

1.4.134

1.4.133

1.4.132

1.4.131

1.4.130

1.4.129

1.4.128

1.4.127

1.4.126

1.4.125

1.4.124

1.4.123

1.4.122

1.4.121

1.4.120

1.4.119

1.4.118

1.4.117

1.4.116

1.4.115

1.4.114

1.4.113

1.4.112

1.4.111

1.4.110

1.4.109

1.4.108

1.4.107

1.4.106

1.4.105

1.4.104

1.4.103

1.4.102

1.4.101

1.4.100

1.4.99

1.4.98

1.4.97

1.4.96

1.4.95

1.4.94

1.4.93

1.4.92

1.4.91

1.4.90

1.4.89

1.4.88

1.4.87

1.4.86

1.4.85

1.4.84

1.4.83

1.4.82

1.4.81

1.4.80

1.4.79

1.4.78

1.4.77

1.4.76

1.4.75

1.4.74

1.4.73

1.4.72

1.4.71

1.4.70

1.4.69

1.4.68

1.4.67

1.4.66

1.4.65

1.4.64

1.4.63

1.4.62

1.4.61

1.4.60

1.4.59

1.4.58

1.4.57

1.4.56

1.4.55

1.4.54

1.4.53

1.4.52

1.4.51

1.4.50

1.4.49

1.4.48

1.4.47

1.4.46

1.4.45

1.4.44

1.4.43

1.4.42

1.4.41

1.4.40

1.4.39

1.4.38

1.4.37

1.4.36

1.4.35

1.4.34

1.4.33

1.4.32

1.4.31

1.4.30

1.4.29

1.4.28

1.4.27

1.4.26

1.4.25

1.4.24

1.4.23

1.4.22

1.4.21

1.4.20

1.4.19

1.4.18

1.4.17

1.4.16

1.4.15

1.4.14

1.4.13

1.4.12

1.4.11

1.4.10

1.4.9

1.4.8

1.4.7

1.4.6

1.4.5

1.4.4

1.4.3

1.4.2

1.4.1

1.4.0

1.3.21

1.3.20

1.3.19

1.3.18

1.3.17

1.3.16

1.3.15

1.3.14

1.3.13

1.3.12

1.3.11

1.3.10

1.3.9

1.3.8

1.3.7

1.3.6

1.3.5

1.3.4

1.3.3

1.3.2

1.3.1

1.3.0

1.2.55

1.2.54

1.2.53

1.2.52

1.2.51

1.2.50

1.2.49

1.2.48

1.2.47

1.2.46

1.2.45

1.2.44

1.2.43

1.2.42

1.2.41

1.2.40

1.2.39

1.2.38

1.2.37

1.2.36

1.2.35

1.2.34

1.2.33

1.2.32

1.2.31

1.2.30

1.2.29

1.2.28

1.2.27

1.2.26

1.2.25

1.2.24

1.2.23

1.2.22

1.2.21

1.2.20

1.2.19

1.2.18

1.2.17

1.2.16

1.2.15

1.2.14

1.2.13

1.2.12

1.2.11

1.2.10

1.2.9

1.2.8

1.2.7

1.2.6

1.2.5

1.2.4

1.2.3

1.2.2

1.2.1

1.2.0

1.1.51

1.1.50

1.1.49

1.1.48

1.1.47

1.1.46

1.1.45

1.1.44

1.1.43

1.1.42

1.1.41

1.1.40

1.1.39

1.1.38

1.1.37

1.1.36

1.1.35

1.1.34

1.1.33

1.1.32

1.1.31

1.1.30

1.1.29

1.1.28

1.1.27

1.1.26

1.1.25

1.1.24

1.1.23

1.1.22

1.1.21

1.1.20

1.1.19

1.1.18

1.1.17

1.1.16

1.1.15

1.1.14

1.1.13

1.1.12

1.1.11

1.1.10

1.1.9

1.1.8

1.1.7

1.1.6

1.1.5

1.1.4

1.1.3

1.1.2

1.1.1

1.1.0

1.0.88

1.0.87

1.0.86

1.0.85

1.0.84

1.0.83

1.0.82

1.0.81

1.0.80

1.0.79

1.0.78

1.0.77

1.0.76

1.0.75

1.0.74

1.0.73

1.0.72

1.0.71

1.0.70

1.0.69

1.0.68

1.0.67

1.0.66

1.0.65

1.0.64

1.0.63

1.0.62

1.0.61

1.0.60

1.0.59

1.0.58

1.0.57

1.0.56

1.0.55

1.0.54

1.0.53

1.0.52

1.0.51

1.0.50

1.0.49

1.0.48

1.0.47

1.0.46

1.0.45

1.0.44

1.0.43

1.0.42

1.0.41

1.0.40

1.0.39

1.0.38

1.0.37

1.0.36

1.0.35

1.0.34

1.0.33

1.0.32

1.0.31

1.0.30

1.0.29

1.0.28

1.0.27

1.0.26

1.0.25

1.0.24

1.0.23

1.0.22

1.0.21

1.0.20

1.0.19

1.0.18

1.0.17

1.0.16

1.0.15

1.0.14

1.0.13

1.0.12

1.0.11

1.0.10

1.0.9

1.0.8

1.0.7

1.0.6

1.0.5

1.0.4

1.0.3

1.0.2

1.0.1

1.0.0

0.1.36

0.1.35

0.1.34

0.1.33

0.1.32

0.1.31

0.1.30

0.1.29

0.1.28

0.1.27

0.1.26

0.1.25

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